If you have not read Part 1, make sure to check it out before reading this post! Supervised learning refers to when algorithms have training data. Unsupervised learning occurs when there is no training

In the past few decades, Bayesian networks (BNs) have become extremely popular due to the wide variety of problems it can tackle. In short, BNs are graphical models for capturing probabilistic relations